Databricks' Robin Sutara On Why AI Training Fails - And The Persona-Based Enablement That Works скачать в хорошем качестве

Databricks' Robin Sutara On Why AI Training Fails - And The Persona-Based Enablement That Works

Data teams build AI solutions for users they've never sat with, then wonder why adoption stalls. Robin Sutara, Field CDO at Databricks, explains why the bottleneck isn't technology or data access. It's that organizations give people AI capabilities but never help them redesign the processes and workflows that need to change. Robin maps her persona-based enablement framework: define roles by function (not org chart), specify required AI capabilities for each, then update the performance metrics and organizational processes that reinforce new behaviors. She details why data teams must sit with domain users before building solutions, how JP Morgan structured executive-level AI representation, and the specific criteria for prioritizing use cases when data isn't ready across your entire estate. CHAPTERS: 00:00 Introduction 00:22 Robin's background and career journey 02:32 Bringing AI to production: the big rocks 06:48 JetBlue Airlines agentic systems example 08:38 Rolls Royce predictive maintenance 10:46 Finding opportunities without waiting for perfect data 13:42 JP Morgan Chase and AI adoption in financial services 16:36 Databricks AI Security Framework: 62 risk factors 21:15 Persona-based AI enablement vs generic literacy training 25:11 Why data availability never solved the change problem 29:26 Digital transformation and data modernization status 35:03 Quick wins: 30-60 day success recipes 40:04 Learning resources for organizational change management 42:17 Empowering women leaders and giving back to community